Overview

Dataset statistics

Number of variables22
Number of observations2938
Missing cells2563
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory843.9 KiB
Average record size in memory294.1 B

Variable types

NUM20
CAT2

Reproduction

Analysis started2021-08-16 13:07:30.399765
Analysis finished2021-08-16 13:08:22.801686
Versionpandas-profiling v2.5.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml
Country has a high cardinality: 193 distinct values High cardinality
under-five deaths is highly correlated with infant deathsHigh Correlation
infant deaths is highly correlated with under-five deaths High Correlation
thinness 5-9 years is highly correlated with thinness 1-19 yearsHigh Correlation
thinness 1-19 years is highly correlated with thinness 5-9 yearsHigh Correlation
Alcohol has 194 (6.6%) missing values Missing
Hepatitis B has 553 (18.8%) missing values Missing
BMI has 34 (1.2%) missing values Missing
Total expenditure has 226 (7.7%) missing values Missing
GDP has 448 (15.2%) missing values Missing
Population has 652 (22.2%) missing values Missing
thinness 1-19 years has 34 (1.2%) missing values Missing
thinness 5-9 years has 34 (1.2%) missing values Missing
Income composition of resources has 167 (5.7%) missing values Missing
Schooling has 163 (5.5%) missing values Missing
infant deaths has 848 (28.9%) zeros Zeros
percentage expenditure has 611 (20.8%) zeros Zeros
Measles has 983 (33.5%) zeros Zeros
under-five deaths has 785 (26.7%) zeros Zeros
Income composition of resources has 130 (4.4%) zeros Zeros

Variables

Country
Categorical

HIGH CARDINALITY
Distinct count193
Unique (%)6.6%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
Azerbaijan
 
16
Kuwait
 
16
Ghana
 
16
Mozambique
 
16
Papua New Guinea
 
16
Other values (188)
2858
ValueCountFrequency (%) 
Azerbaijan 16 0.5%
 
Kuwait 16 0.5%
 
Ghana 16 0.5%
 
Mozambique 16 0.5%
 
Papua New Guinea 16 0.5%
 
Zimbabwe 16 0.5%
 
Peru 16 0.5%
 
Algeria 16 0.5%
 
Panama 16 0.5%
 
The former Yugoslav republic of Macedonia 16 0.5%
 
Other values (183) 2778 94.6%
 
2021-08-16T18:53:22.884556image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length52
Mean length10.04118448
Min length4
ValueCountFrequency (%) 
Lowercase_Letter 27 48.2%
 
Uppercase_Letter 24 42.9%
 
Other_Punctuation 1 1.8%
 
Close_Punctuation 1 1.8%
 
Space_Separator 1 1.8%
 
Dash_Punctuation 1 1.8%
 
Open_Punctuation 1 1.8%
 
ValueCountFrequency (%) 
Latin 51 91.1%
 
Common 5 8.9%
 
ValueCountFrequency (%) 
ASCII 55 100.0%
 

Year
Real number (ℝ≥0)

Distinct count16
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.5187202178352
Minimum2000
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:22.966778image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2000
Q12004
median2008
Q32012
95-th percentile2015
Maximum2015
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.61384094
Coefficient of variation (CV)0.002298280406
Kurtosis-1.213721712
Mean2007.51872
Median Absolute Deviation (MAD)4.005041796
Skewness-0.006409027359
Sum5898090
Variance21.28752822
2021-08-16T18:53:23.051316image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2021-08-16T18:53:23.157138image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with variable size bins (bins=[2000. 2000.5 2014.5 2015. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
2013 193 6.6%
 
2015 183 6.2%
 
2011 183 6.2%
 
2009 183 6.2%
 
2007 183 6.2%
 
2005 183 6.2%
 
2003 183 6.2%
 
2001 183 6.2%
 
2014 183 6.2%
 
2012 183 6.2%
 
Other values (6) 1098 37.4%
 
ValueCountFrequency (%) 
2000 183 6.2%
 
2001 183 6.2%
 
2002 183 6.2%
 
2003 183 6.2%
 
2004 183 6.2%
 
ValueCountFrequency (%) 
2015 183 6.2%
 
2014 183 6.2%
 
2013 193 6.6%
 
2012 183 6.2%
 
2011 183 6.2%
 

Status
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
Developing
2426
Developed
512
ValueCountFrequency (%) 
Developing 2426 82.6%
 
Developed 512 17.4%
 
2021-08-16T18:53:23.257858image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length10
Mean length9.82573179
Min length9
ValueCountFrequency (%) 
Lowercase_Letter 9 90.0%
 
Uppercase_Letter 1 10.0%
 
ValueCountFrequency (%) 
Latin 10 100.0%
 
ValueCountFrequency (%) 
ASCII 10 100.0%
 

Life expectancy
Real number (ℝ≥0)

Distinct count362
Unique (%)12.4%
Missing10
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean69.22493169398908
Minimum36.3
Maximum89.0
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:23.341516image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum36.3
5-th percentile51.4
Q163.1
median72.1
Q375.7
95-th percentile82
Maximum89
Range52.7
Interquartile range (IQR)12.6

Descriptive statistics

Standard deviation9.523867488
Coefficient of variation (CV)0.1375785754
Kurtosis-0.2344773942
Mean69.22493169
Median Absolute Deviation (MAD)7.791540879
Skewness-0.6386047359
Sum202690.6
Variance90.70405193
2021-08-16T18:53:23.433329image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
73 45 1.5%
 
75 33 1.1%
 
78 31 1.1%
 
73.6 28 1.0%
 
73.9 25 0.9%
 
81 25 0.9%
 
76 25 0.9%
 
74.7 24 0.8%
 
74.5 24 0.8%
 
74.1 23 0.8%
 
Other values (352) 2645 90.0%
 
ValueCountFrequency (%) 
36.3 1 < 0.1%
 
39 1 < 0.1%
 
41 1 < 0.1%
 
41.5 1 < 0.1%
 
42.3 1 < 0.1%
 
ValueCountFrequency (%) 
89 11 0.4%
 
88 10 0.3%
 
87 9 0.3%
 
86 15 0.5%
 
85 12 0.4%
 

Adult Mortality
Real number (ℝ≥0)

Distinct count425
Unique (%)14.5%
Missing10
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean164.79644808743168
Minimum1.0
Maximum723.0
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:23.504899image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q174
median144
Q3228
95-th percentile398.3
Maximum723
Range722
Interquartile range (IQR)154

Descriptive statistics

Standard deviation124.292079
Coefficient of variation (CV)0.754215764
Kurtosis1.748860208
Mean164.7964481
Median Absolute Deviation (MAD)95.36008559
Skewness1.174369488
Sum482524
Variance15448.5209
2021-08-16T18:53:23.605744image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12 34 1.2%
 
14 30 1.0%
 
16 29 1.0%
 
11 25 0.9%
 
138 25 0.9%
 
19 23 0.8%
 
144 22 0.7%
 
17 21 0.7%
 
15 21 0.7%
 
13 21 0.7%
 
Other values (415) 2677 91.1%
 
ValueCountFrequency (%) 
1 12 0.4%
 
2 8 0.3%
 
3 6 0.2%
 
4 4 0.1%
 
5 2 0.1%
 
ValueCountFrequency (%) 
723 1 < 0.1%
 
717 1 < 0.1%
 
715 1 < 0.1%
 
699 1 < 0.1%
 
693 1 < 0.1%
 

infant deaths
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count209
Unique (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.303948264125257
Minimum0
Maximum1800
Zeros848
Zeros (%)28.9%
Memory size23.1 KiB
2021-08-16T18:53:23.691050image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322
95-th percentile94.15
Maximum1800
Range1800
Interquartile range (IQR)22

Descriptive statistics

Standard deviation117.9265013
Coefficient of variation (CV)3.891456661
Kurtosis116.0427561
Mean30.30394826
Median Absolute Deviation (MAD)40.69157019
Skewness9.78696295
Sum89033
Variance13906.65971
2021-08-16T18:53:23.774851image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2021-08-16T18:53:23.891558image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with variable size bins (bins=[0.000e+00 5.000e-01 1.500e+00 3.500e+00 4.500e+00 ... 2.505e+02 3.595e+02 3.715e+02 5.750e+02 1.800e+03], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 848 28.9%
 
1 342 11.6%
 
2 203 6.9%
 
3 175 6.0%
 
4 96 3.3%
 
8 57 1.9%
 
7 53 1.8%
 
10 48 1.6%
 
9 48 1.6%
 
6 46 1.6%
 
Other values (199) 1022 34.8%
 
ValueCountFrequency (%) 
0 848 28.9%
 
1 342 11.6%
 
2 203 6.9%
 
3 175 6.0%
 
4 96 3.3%
 
ValueCountFrequency (%) 
1800 2 0.1%
 
1700 2 0.1%
 
1600 1 < 0.1%
 
1500 2 0.1%
 
1400 1 < 0.1%
 

Alcohol
Real number (ℝ≥0)

MISSING
Distinct count1076
Unique (%)39.2%
Missing194
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean4.602860787172012
Minimum0.01
Maximum17.87
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:23.993113image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.8775
median3.755
Q37.7025
95-th percentile11.96
Maximum17.87
Range17.86
Interquartile range (IQR)6.825

Descriptive statistics

Standard deviation4.052412659
Coefficient of variation (CV)0.8804117366
Kurtosis-0.8029092244
Mean4.602860787
Median Absolute Deviation (MAD)3.492951908
Skewness0.5895625281
Sum12630.25
Variance16.42204836
2021-08-16T18:53:24.084352image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.01 288 9.8%
 
0.03 15 0.5%
 
0.04 13 0.4%
 
0.02 12 0.4%
 
0.09 12 0.4%
 
1.18 10 0.3%
 
0.21 10 0.3%
 
0.06 10 0.3%
 
0.08 9 0.3%
 
0.49 9 0.3%
 
Other values (1066) 2356 80.2%
 
(Missing) 194 6.6%
 
ValueCountFrequency (%) 
0.01 288 9.8%
 
0.02 12 0.4%
 
0.03 15 0.5%
 
0.04 13 0.4%
 
0.05 9 0.3%
 
ValueCountFrequency (%) 
17.87 1 < 0.1%
 
17.31 1 < 0.1%
 
16.99 1 < 0.1%
 
16.58 1 < 0.1%
 
16.35 1 < 0.1%
 

percentage expenditure
Real number (ℝ≥0)

ZEROS
Distinct count2328
Unique (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean738.2512954533831
Minimum0.0
Maximum19479.91161
Zeros611
Zeros (%)20.8%
Memory size23.1 KiB
2021-08-16T18:53:24.168730image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.685342585
median64.91290604
Q3441.5341444
95-th percentile4506.638496
Maximum19479.91161
Range19479.91161
Interquartile range (IQR)436.8488018

Descriptive statistics

Standard deviation1987.914858
Coefficient of variation (CV)2.692734669
Kurtosis26.57338739
Mean738.2512955
Median Absolute Deviation (MAD)1016.690876
Skewness4.652051348
Sum2168982.306
Variance3951805.483
2021-08-16T18:53:24.257154image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2021-08-16T18:53:24.372668image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with variable size bins (bins=[0.00000000e+00 4.99360950e-02 1.18551412e+01 4.77767119e+01 8.12159390e+01 ... 2.28423697e+03 3.88244131e+03 8.39206517e+03 1.19676540e+04 1.94799116e+04], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 611 20.8%
 
345.9044258 1 < 0.1%
 
2698.01817 1 < 0.1%
 
3.43334364 1 < 0.1%
 
8.758214538 1 < 0.1%
 
5.103249438 1 < 0.1%
 
70.27113179 1 < 0.1%
 
6164.455402 1 < 0.1%
 
0.962497052 1 < 0.1%
 
253.4022338 1 < 0.1%
 
Other values (2318) 2318 78.9%
 
ValueCountFrequency (%) 
0 611 20.8%
 
0.09987219 1 < 0.1%
 
0.108055973 1 < 0.1%
 
0.27564826 1 < 0.1%
 
0.328418056 1 < 0.1%
 
ValueCountFrequency (%) 
19479.91161 1 < 0.1%
 
19099.04506 1 < 0.1%
 
18961.3486 1 < 0.1%
 
18822.86732 1 < 0.1%
 
18379.32974 1 < 0.1%
 

Hepatitis B
Real number (ℝ≥0)

MISSING
Distinct count87
Unique (%)3.6%
Missing553
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean80.94046121593291
Minimum1.0
Maximum99.0
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:24.473716image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q177
median92
Q397
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)20

Descriptive statistics

Standard deviation25.07001559
Coefficient of variation (CV)0.3097340343
Kurtosis2.770259399
Mean80.94046122
Median Absolute Deviation (MAD)18.03970413
Skewness-1.930845104
Sum193043
Variance628.5056818
2021-08-16T18:53:24.558057image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
99 240 8.2%
 
98 210 7.1%
 
96 167 5.7%
 
97 155 5.3%
 
95 149 5.1%
 
94 127 4.3%
 
93 101 3.4%
 
92 92 3.1%
 
91 75 2.6%
 
89 71 2.4%
 
Other values (77) 998 34.0%
 
(Missing) 553 18.8%
 
ValueCountFrequency (%) 
1 1 < 0.1%
 
2 4 0.1%
 
4 4 0.1%
 
5 9 0.3%
 
6 17 0.6%
 
ValueCountFrequency (%) 
99 240 8.2%
 
98 210 7.1%
 
97 155 5.3%
 
96 167 5.7%
 
95 149 5.1%
 

Measles
Real number (ℝ≥0)

ZEROS
Distinct count958
Unique (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2419.5922396187884
Minimum0
Maximum212183
Zeros983
Zeros (%)33.5%
Memory size23.1 KiB
2021-08-16T18:53:24.655274image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q3360.25
95-th percentile9985.55
Maximum212183
Range212183
Interquartile range (IQR)360.25

Descriptive statistics

Standard deviation11467.27249
Coefficient of variation (CV)4.739340911
Kurtosis114.8599032
Mean2419.59224
Median Absolute Deviation (MAD)3923.783637
Skewness9.441331947
Sum7108762
Variance131498338.3
2021-08-16T18:53:24.722093image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2021-08-16T18:53:24.822232image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with variable size bins (bins=[0.00000e+00 5.00000e-01 1.50000e+00 3.50000e+00 1.15000e+01 ... 7.87500e+03 1.28445e+04 2.49720e+04 7.19540e+04 2.12183e+05], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 983 33.5%
 
1 104 3.5%
 
2 68 2.3%
 
3 44 1.5%
 
4 33 1.1%
 
6 29 1.0%
 
7 28 1.0%
 
5 25 0.9%
 
8 24 0.8%
 
9 22 0.7%
 
Other values (948) 1578 53.7%
 
ValueCountFrequency (%) 
0 983 33.5%
 
1 104 3.5%
 
2 68 2.3%
 
3 44 1.5%
 
4 33 1.1%
 
ValueCountFrequency (%) 
212183 1 < 0.1%
 
182485 1 < 0.1%
 
168107 1 < 0.1%
 
141258 1 < 0.1%
 
133802 1 < 0.1%
 

BMI
Real number (ℝ≥0)

MISSING
Distinct count608
Unique (%)20.9%
Missing34
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean38.321246556473824
Minimum1.0
Maximum87.3
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:24.892425image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q119.3
median43.5
Q356.2
95-th percentile64.785
Maximum87.3
Range86.3
Interquartile range (IQR)36.9

Descriptive statistics

Standard deviation20.0440335
Coefficient of variation (CV)0.5230527528
Kurtosis-1.291095468
Mean38.32124656
Median Absolute Deviation (MAD)18.08421859
Skewness-0.2193116034
Sum111284.9
Variance401.7632791
2021-08-16T18:53:24.993918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
58.5 18 0.6%
 
57 16 0.5%
 
55.8 16 0.5%
 
54.2 15 0.5%
 
59.9 15 0.5%
 
59.3 14 0.5%
 
55 13 0.4%
 
56.5 13 0.4%
 
59.4 13 0.4%
 
52.8 13 0.4%
 
Other values (598) 2758 93.9%
 
(Missing) 34 1.2%
 
ValueCountFrequency (%) 
1 1 < 0.1%
 
1.4 2 0.1%
 
1.8 1 < 0.1%
 
1.9 1 < 0.1%
 
2 1 < 0.1%
 
ValueCountFrequency (%) 
87.3 1 < 0.1%
 
83.3 1 < 0.1%
 
82.8 1 < 0.1%
 
81.6 1 < 0.1%
 
79.3 1 < 0.1%
 

under-five deaths
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count252
Unique (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.0357385976855
Minimum0
Maximum2500
Zeros785
Zeros (%)26.7%
Memory size23.1 KiB
2021-08-16T18:53:25.053746image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q328
95-th percentile138
Maximum2500
Range2500
Interquartile range (IQR)28

Descriptive statistics

Standard deviation160.4455484
Coefficient of variation (CV)3.816884246
Kurtosis109.7527951
Mean42.0357386
Median Absolute Deviation (MAD)57.10805733
Skewness9.495064657
Sum123501
Variance25742.774
2021-08-16T18:53:25.126281image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2021-08-16T18:53:25.226242image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with variable size bins (bins=[0.000e+00 5.000e-01 1.500e+00 4.500e+00 1.250e+01 ... 3.370e+02 4.570e+02 4.665e+02 9.395e+02 2.500e+03], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 785 26.7%
 
1 361 12.3%
 
2 163 5.5%
 
4 161 5.5%
 
3 129 4.4%
 
12 53 1.8%
 
8 49 1.7%
 
6 48 1.6%
 
10 47 1.6%
 
5 44 1.5%
 
Other values (242) 1098 37.4%
 
ValueCountFrequency (%) 
0 785 26.7%
 
1 361 12.3%
 
2 163 5.5%
 
3 129 4.4%
 
4 161 5.5%
 
ValueCountFrequency (%) 
2500 1 < 0.1%
 
2400 1 < 0.1%
 
2300 1 < 0.1%
 
2200 1 < 0.1%
 
2100 1 < 0.1%
 

Polio
Real number (ℝ≥0)

Distinct count73
Unique (%)2.5%
Missing19
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean82.55018842069202
Minimum3.0
Maximum99.0
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:25.304393image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q178
median93
Q397
95-th percentile99
Maximum99
Range96
Interquartile range (IQR)19

Descriptive statistics

Standard deviation23.42804595
Coefficient of variation (CV)0.2838036641
Kurtosis3.776509819
Mean82.55018842
Median Absolute Deviation (MAD)16.58260413
Skewness-2.098053249
Sum240964
Variance548.873337
2021-08-16T18:53:25.389946image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
99 376 12.8%
 
98 255 8.7%
 
96 207 7.0%
 
97 205 7.0%
 
95 180 6.1%
 
94 159 5.4%
 
93 120 4.1%
 
92 96 3.3%
 
91 88 3.0%
 
9 71 2.4%
 
Other values (63) 1162 39.6%
 
ValueCountFrequency (%) 
3 7 0.2%
 
4 11 0.4%
 
5 8 0.3%
 
6 11 0.4%
 
7 24 0.8%
 
ValueCountFrequency (%) 
99 376 12.8%
 
98 255 8.7%
 
97 205 7.0%
 
96 207 7.0%
 
95 180 6.1%
 

Total expenditure
Real number (ℝ≥0)

MISSING
Distinct count818
Unique (%)30.2%
Missing226
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean5.9381895280235995
Minimum0.37
Maximum17.6
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:25.473495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.37
5-th percentile1.93
Q14.26
median5.755
Q37.4925
95-th percentile9.76
Maximum17.6
Range17.23
Interquartile range (IQR)3.2325

Descriptive statistics

Standard deviation2.498319672
Coefficient of variation (CV)0.4207207703
Kurtosis1.156270469
Mean5.938189528
Median Absolute Deviation (MAD)1.95366747
Skewness0.6186855521
Sum16104.37
Variance6.241601184
2021-08-16T18:53:25.559551image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.6 15 0.5%
 
6.7 12 0.4%
 
5.6 11 0.4%
 
5.64 10 0.3%
 
3.4 10 0.3%
 
9.1 10 0.3%
 
5.3 10 0.3%
 
5.25 10 0.3%
 
5.9 10 0.3%
 
5.29 9 0.3%
 
Other values (808) 2605 88.7%
 
(Missing) 226 7.7%
 
ValueCountFrequency (%) 
0.37 1 < 0.1%
 
0.65 1 < 0.1%
 
0.74 1 < 0.1%
 
0.76 1 < 0.1%
 
0.92 1 < 0.1%
 
ValueCountFrequency (%) 
17.6 1 < 0.1%
 
17.24 1 < 0.1%
 
17.2 2 0.1%
 
17.14 1 < 0.1%
 
17 1 < 0.1%
 

Diphtheria
Real number (ℝ≥0)

Distinct count81
Unique (%)2.8%
Missing19
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean82.32408359027065
Minimum2.0
Maximum99.0
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:25.638796image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q178
median93
Q397
95-th percentile99
Maximum99
Range97
Interquartile range (IQR)19

Descriptive statistics

Standard deviation23.71691207
Coefficient of variation (CV)0.2880920265
Kurtosis3.558143
Mean82.32408359
Median Absolute Deviation (MAD)16.74639264
Skewness-2.072752929
Sum240304
Variance562.4919181
2021-08-16T18:53:25.723092image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
99 350 11.9%
 
98 254 8.6%
 
97 205 7.0%
 
96 201 6.8%
 
95 200 6.8%
 
94 149 5.1%
 
93 120 4.1%
 
92 100 3.4%
 
91 91 3.1%
 
89 76 2.6%
 
Other values (71) 1173 39.9%
 
ValueCountFrequency (%) 
2 1 < 0.1%
 
3 4 0.1%
 
4 12 0.4%
 
5 10 0.3%
 
6 16 0.5%
 
ValueCountFrequency (%) 
99 350 11.9%
 
98 254 8.6%
 
97 205 7.0%
 
96 201 6.8%
 
95 200 6.8%
 

HIV/AIDS
Real number (ℝ≥0)

Distinct count200
Unique (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7421034717494894
Minimum0.1
Maximum50.6
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:25.810829image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.8
95-th percentile8.515
Maximum50.6
Range50.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation5.077784531
Coefficient of variation (CV)2.914743363
Kurtosis34.89200787
Mean1.742103472
Median Absolute Deviation (MAD)2.451940767
Skewness5.396112042
Sum5118.3
Variance25.78389574
2021-08-16T18:53:25.885906image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2021-08-16T18:53:25.970414image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with variable size bins (bins=[ 0.1 0.15 0.35 0.45 0.95 ... 5.35 9.05 16.05 34.7 50.6 ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0.1 1781 60.6%
 
0.2 124 4.2%
 
0.3 115 3.9%
 
0.4 69 2.3%
 
0.5 42 1.4%
 
0.6 35 1.2%
 
0.8 32 1.1%
 
0.9 32 1.1%
 
0.7 29 1.0%
 
1.5 21 0.7%
 
Other values (190) 658 22.4%
 
ValueCountFrequency (%) 
0.1 1781 60.6%
 
0.2 124 4.2%
 
0.3 115 3.9%
 
0.4 69 2.3%
 
0.5 42 1.4%
 
ValueCountFrequency (%) 
50.6 1 < 0.1%
 
50.3 1 < 0.1%
 
49.9 1 < 0.1%
 
49.1 1 < 0.1%
 
48.8 1 < 0.1%
 

GDP
Real number (ℝ≥0)

MISSING
Distinct count2490
Unique (%)100.0%
Missing448
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean7483.158469138474
Minimum1.68135
Maximum119172.7418
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:26.056709image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1.68135
5-th percentile68.05001537
Q1463.935626
median1766.947595
Q35910.806335
95-th percentile41606.84833
Maximum119172.7418
Range119171.0605
Interquartile range (IQR)5446.870709

Descriptive statistics

Standard deviation14270.16934
Coefficient of variation (CV)1.906971421
Kurtosis12.33307364
Mean7483.158469
Median Absolute Deviation (MAD)8850.176327
Skewness3.20665487
Sum18633064.59
Variance203637733
2021-08-16T18:53:26.141243image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1276.265 1 < 0.1%
 
3638.95946 1 < 0.1%
 
2158.299 1 < 0.1%
 
1768.92132 1 < 0.1%
 
261.456882 1 < 0.1%
 
558.221144 1 < 0.1%
 
38532.488 1 < 0.1%
 
5.6687264 1 < 0.1%
 
2519.737387 1 < 0.1%
 
1922.41388 1 < 0.1%
 
Other values (2480) 2480 84.4%
 
(Missing) 448 15.2%
 
ValueCountFrequency (%) 
1.68135 1 < 0.1%
 
3.685949 1 < 0.1%
 
4.6135745 1 < 0.1%
 
5.6687264 1 < 0.1%
 
8.376432 1 < 0.1%
 
ValueCountFrequency (%) 
119172.7418 1 < 0.1%
 
115761.577 1 < 0.1%
 
114293.8433 1 < 0.1%
 
113751.85 1 < 0.1%
 
89739.7117 1 < 0.1%
 

Population
Real number (ℝ≥0)

MISSING
Distinct count2278
Unique (%)99.7%
Missing652
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean12753375.120052494
Minimum34.0
Maximum1293859294.0
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:26.228063image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile9617.5
Q1195793.25
median1386542
Q37420359
95-th percentile47554415.75
Maximum1293859294
Range1293859260
Interquartile range (IQR)7224565.75

Descriptive statistics

Standard deviation61012096.51
Coefficient of variation (CV)4.783996074
Kurtosis298.0102666
Mean12753375.12
Median Absolute Deviation (MAD)17416293.56
Skewness15.9162356
Sum2.915421552e+10
Variance3.72247592e+15
2021-08-16T18:53:26.304627image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
444 4 0.1%
 
1141 2 0.1%
 
718239 2 0.1%
 
26868 2 0.1%
 
127445 2 0.1%
 
292 2 0.1%
 
939848 1 < 0.1%
 
39145488 1 < 0.1%
 
127658 1 < 0.1%
 
13281 1 < 0.1%
 
Other values (2268) 2268 77.2%
 
(Missing) 652 22.2%
 
ValueCountFrequency (%) 
34 1 < 0.1%
 
36 1 < 0.1%
 
41 1 < 0.1%
 
43 1 < 0.1%
 
123 1 < 0.1%
 
ValueCountFrequency (%) 
1293859294 1 < 0.1%
 
1179681239 1 < 0.1%
 
1161977719 1 < 0.1%
 
1144118674 1 < 0.1%
 
1126135777 1 < 0.1%
 

thinness 1-19 years
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
Distinct count200
Unique (%)6.9%
Missing34
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean4.839703856749312
Minimum0.1
Maximum27.7
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:26.390785image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.6
Q11.6
median3.3
Q37.2
95-th percentile13.8
Maximum27.7
Range27.6
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation4.420194947
Coefficient of variation (CV)0.9133193018
Kurtosis3.97043867
Mean4.839703857
Median Absolute Deviation (MAD)3.425155575
Skewness1.711471088
Sum14054.5
Variance19.53812337
2021-08-16T18:53:26.468411image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 74 2.5%
 
1.9 65 2.2%
 
0.8 64 2.2%
 
0.7 63 2.1%
 
1.2 62 2.1%
 
2.1 61 2.1%
 
1.5 60 2.0%
 
2.2 58 2.0%
 
2 57 1.9%
 
0.9 57 1.9%
 
Other values (190) 2283 77.7%
 
ValueCountFrequency (%) 
0.1 28 1.0%
 
0.2 40 1.4%
 
0.3 32 1.1%
 
0.4 5 0.2%
 
0.5 35 1.2%
 
ValueCountFrequency (%) 
27.7 1 < 0.1%
 
27.5 1 < 0.1%
 
27.4 1 < 0.1%
 
27.3 1 < 0.1%
 
27.2 2 0.1%
 

thinness 5-9 years
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
Distinct count207
Unique (%)7.1%
Missing34
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean4.870316804407714
Minimum0.1
Maximum28.6
Zeros0
Zeros (%)0.0%
Memory size23.1 KiB
2021-08-16T18:53:26.539252image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q11.5
median3.3
Q37.2
95-th percentile13.8
Maximum28.6
Range28.5
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation4.508882087
Coefficient of variation (CV)0.9257882532
Kurtosis4.358730342
Mean4.870316804
Median Absolute Deviation (MAD)3.456302507
Skewness1.777423977
Sum14143.4
Variance20.33001767
2021-08-16T18:53:26.623474image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9 69 2.3%
 
1.1 67 2.3%
 
0.5 63 2.1%
 
1.9 63 2.1%
 
1 62 2.1%
 
2.1 61 2.1%
 
1.3 59 2.0%
 
1.5 57 1.9%
 
1.7 55 1.9%
 
0.6 54 1.8%
 
Other values (197) 2294 78.1%
 
ValueCountFrequency (%) 
0.1 37 1.3%
 
0.2 45 1.5%
 
0.3 25 0.9%
 
0.4 17 0.6%
 
0.5 63 2.1%
 
ValueCountFrequency (%) 
28.6 1 < 0.1%
 
28.5 1 < 0.1%
 
28.4 1 < 0.1%
 
28.3 1 < 0.1%
 
28.2 1 < 0.1%
 

Income composition of resources
Real number (ℝ≥0)

MISSING
ZEROS
Distinct count625
Unique (%)22.6%
Missing167
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean0.6275510645976182
Minimum0.0
Maximum0.948
Zeros130
Zeros (%)4.4%
Memory size23.1 KiB
2021-08-16T18:53:26.708732image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.277
Q10.493
median0.677
Q30.779
95-th percentile0.892
Maximum0.948
Range0.948
Interquartile range (IQR)0.286

Descriptive statistics

Standard deviation0.2109035552
Coefficient of variation (CV)0.3360739341
Kurtosis1.392814239
Mean0.6275510646
Median Absolute Deviation (MAD)0.1643356994
Skewness-1.14376272
Sum1738.944
Variance0.04448030958
2021-08-16T18:53:26.770689image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 130 4.4%
 
0.7 17 0.6%
 
0.739 13 0.4%
 
0.636 12 0.4%
 
0.714 12 0.4%
 
0.86 11 0.4%
 
0.703 11 0.4%
 
0.723 11 0.4%
 
0.734 11 0.4%
 
0.877 11 0.4%
 
Other values (615) 2532 86.2%
 
(Missing) 167 5.7%
 
ValueCountFrequency (%) 
0 130 4.4%
 
0.253 1 < 0.1%
 
0.255 1 < 0.1%
 
0.261 1 < 0.1%
 
0.266 1 < 0.1%
 
ValueCountFrequency (%) 
0.948 1 < 0.1%
 
0.945 1 < 0.1%
 
0.942 1 < 0.1%
 
0.941 1 < 0.1%
 
0.939 1 < 0.1%
 

Schooling
Real number (ℝ≥0)

MISSING
Distinct count173
Unique (%)6.2%
Missing163
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean11.992792792792793
Minimum0.0
Maximum20.7
Zeros28
Zeros (%)1.0%
Memory size23.1 KiB
2021-08-16T18:53:26.857344image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8
Q110.1
median12.3
Q314.3
95-th percentile16.8
Maximum20.7
Range20.7
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation3.358919721
Coefficient of variation (CV)0.2800781919
Kurtosis0.8861512689
Mean11.99279279
Median Absolute Deviation (MAD)2.593733626
Skewness-0.6024365419
Sum33280
Variance11.28234169
2021-08-16T18:53:26.941710image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12.9 58 2.0%
 
13.3 52 1.8%
 
12.5 49 1.7%
 
12.8 46 1.6%
 
12.3 44 1.5%
 
12.6 43 1.5%
 
12.4 42 1.4%
 
10.7 41 1.4%
 
11.9 41 1.4%
 
12.7 40 1.4%
 
Other values (163) 2319 78.9%
 
(Missing) 163 5.5%
 
ValueCountFrequency (%) 
0 28 1.0%
 
2.8 1 < 0.1%
 
2.9 4 0.1%
 
3 1 < 0.1%
 
3.1 1 < 0.1%
 
ValueCountFrequency (%) 
20.7 1 < 0.1%
 
20.6 1 < 0.1%
 
20.5 1 < 0.1%
 
20.4 3 0.1%
 
20.3 4 0.1%
 

Interactions

2021-08-16T18:52:37.924796image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.040503image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.146401image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.246306image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.347331image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.467500image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.582273image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.689432image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.791476image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.882368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:38.997293image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.097365image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.198280image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.303916image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.404830image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.493029image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.594834image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.713218image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.814517image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:39.925176image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.027870image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.168055image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.264807image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.376547image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.475392image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.674626image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.782027image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.861288image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:40.965946image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.066282image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.159012image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.248082image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.351676image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.453234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.551295image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.654022image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.748603image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.850767image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:41.948804image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.032747image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.141264image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.231988image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.347906image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.449574image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.558376image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.670376image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.783443image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.896961image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:42.997787image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:43.100537image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:43.208473image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:43.301059image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:43.427464image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:52:43.534543image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-16T18:52:43.748350image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-16T18:53:05.020308image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.117291image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.243865image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.350804image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.449206image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.525788image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.626756image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.727233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.840206image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:05.949912image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.057583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.155511image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.294855image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.427795image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.535753image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.649485image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.753177image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.845419image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:06.950044image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.049743image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.158451image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.259680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.361382image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.457733image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.557550image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.636516image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.793035image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:07.921689image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:08.039375image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:08.407526image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:08.527205image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:08.640901image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:08.749612image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:08.878711image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:08.985425image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.095133image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.215810image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.328508image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.455502image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.586144image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.715014image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.851774image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:09.978434image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.083962image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.202643image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.329304image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.453971image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.570659image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.679368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.812044image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:10.923713image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.052368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.162088image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.260810image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.371455image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.508087image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.639736image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.772380image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.880092image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:11.989988image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.105639image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.224322image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.338017image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.449720image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.552444image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.664339image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.779034image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:12.898541image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.017417image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.131114image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.246017image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.355724image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.454460image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.562645image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.656425image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.755129image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.853512image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:13.979182image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.094872image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.203582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.314287image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.433966image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.546664image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.656371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.758374image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.858418image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:14.966991image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.076218image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.175900image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.293244image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.393553image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.505269image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.600196image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.691075image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.791123image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.890999image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:15.992064image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.076471image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.191183image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.290424image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.404705image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.513421image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.623081image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.743759image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:16.875406image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.009773image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.125680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.235734image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.342276image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.456870image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.561680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.684217image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.787939image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:17.895651image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.001369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.104154image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.207818image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.318144image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.422864image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.525624image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.624417image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.732032image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.840521image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:18.953245image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.058936image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.149765image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.265291image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.374294image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.490599image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.592763image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.693633image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.807591image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.897139image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:19.997535image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:20.074912image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:20.187743image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:20.279938image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:20.673124image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:20.756298image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:20.861343image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:20.961278image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:21.065140image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:21.164853image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:21.259091image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:21.360994image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2021-08-16T18:53:27.058389image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-08-16T18:53:27.331107image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-08-16T18:53:27.578398image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-08-16T18:53:27.815183image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Missing values

2021-08-16T18:53:21.651389image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:22.039497image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:22.359318image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-16T18:53:22.638283image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

CountryYearStatusLife expectancyAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 1-19 yearsthinness 5-9 yearsIncome composition of resourcesSchooling
0Afghanistan2015Developing65.0263.0620.0171.27962465.0115419.1836.08.1665.00.1584.25921033736494.017.217.30.47910.1
1Afghanistan2014Developing59.9271.0640.0173.52358262.049218.68658.08.1862.00.1612.696514327582.017.517.50.47610.0
2Afghanistan2013Developing59.9268.0660.0173.21924364.043018.18962.08.1364.00.1631.74497631731688.017.717.70.4709.9
3Afghanistan2012Developing59.5272.0690.0178.18421567.0278717.69367.08.5267.00.1669.9590003696958.017.918.00.4639.8
4Afghanistan2011Developing59.2275.0710.017.09710968.0301317.29768.07.8768.00.163.5372312978599.018.218.20.4549.5
5Afghanistan2010Developing58.8279.0740.0179.67936766.0198916.710266.09.2066.00.1553.3289402883167.018.418.40.4489.2
6Afghanistan2009Developing58.6281.0770.0156.76221763.0286116.210663.09.4263.00.1445.893298284331.018.618.70.4348.9
7Afghanistan2008Developing58.1287.0800.0325.87392564.0159915.711064.08.3364.00.1373.3611162729431.018.818.90.4338.7
8Afghanistan2007Developing57.5295.0820.0210.91015663.0114115.211363.06.7363.00.1369.83579626616792.019.019.10.4158.4
9Afghanistan2006Developing57.3295.0840.0317.17151864.0199014.711658.07.4358.00.1272.5637702589345.019.219.30.4058.1

Last rows

CountryYearStatusLife expectancyAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 1-19 yearsthinness 5-9 yearsIncome composition of resourcesSchooling
2928Zimbabwe2009Developing50.0587.0304.641.04002173.085329.04569.06.2673.018.165.8241211381599.07.57.40.4199.9
2929Zimbabwe2008Developing48.2632.0303.5620.84342975.0028.64675.04.9675.020.5325.67857313558469.07.87.80.4219.7
2930Zimbabwe2007Developing46.667.0293.8829.81456672.024228.24673.04.4773.023.7396.9982171332999.08.28.20.4149.6
2931Zimbabwe2006Developing45.47.0284.5734.26216968.021227.94571.05.127.026.8414.79623213124267.08.68.60.4089.5
2932Zimbabwe2005Developing44.6717.0284.148.71740965.042027.54369.06.4468.030.3444.765750129432.09.09.00.4069.3
2933Zimbabwe2004Developing44.3723.0274.360.00000068.03127.14267.07.1365.033.6454.36665412777511.09.49.40.4079.2
2934Zimbabwe2003Developing44.5715.0264.060.0000007.099826.7417.06.5268.036.7453.35115512633897.09.89.90.4189.5
2935Zimbabwe2002Developing44.873.0254.430.00000073.030426.34073.06.5371.039.857.348340125525.01.21.30.42710.0
2936Zimbabwe2001Developing45.3686.0251.720.00000076.052925.93976.06.1675.042.1548.58731212366165.01.61.70.4279.8
2937Zimbabwe2000Developing46.0665.0241.680.00000079.0148325.53978.07.1078.043.5547.35887912222251.011.011.20.4349.8